Based on our record, Scikit-learn should be more popular than stickK. It has been mentiond 28 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I started a blog kadonis.blogspot.org where I posted about my 90 Day Challenge to improve my lifestyle. I'll be posting with various weekly updates so stay tuned! Feel free to also support me on stickk.com with my commitments! Source: 12 months ago
Doctor Hershfield shared stickk.com as a tool. I can also recommend the Forfeit and Squad Apps for accountability and habit formation as well as r/Accountabilibuddies. Source: about 1 year ago
I would like to find someone who could help me accountable with the website stickk.com. Source: about 1 year ago
I am just like many of you, a verified screentime junkie to the point where I get headaches and digital dementia. I've tried so many damn things to reduce my screen time: greyscale the screen, lock away my phone in a safe, use the app/web blockers.. And while these can help, from my experience they just aren't good enough. The one thing I found to legitimately reduce my screen is to have a commitment contract with... Source: about 1 year ago
Would you be willing to use the website stickk.com? Source: almost 2 years ago
Online Courses: Coursera: "Machine Learning" by Andrew Ng EdX: "Introduction to Machine Learning" by MIT Tutorials: Scikit-learn documentation: https://scikit-learn.org/ Kaggle Learn: https://www.kaggle.com/learn Books: "Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow" by Aurélien Géron "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani, and Jerome Friedman By... - Source: dev.to / 3 months ago
Firstly, we need a connection to Memgraph so we can get edges, split them into two parts (train set and test set). For edge splitting, we will use scikit-learn. In order to make a connection towards Memgraph, we will use gqlalchemy. - Source: dev.to / 12 months ago
The ML component is based on scikit-learn which differentiates it from purely list-based filters. It couples this with a full-featured wireless router (RaspAP) in a single device, so it fulfills the needs of a use case not entirely addressed by Pi-hole. Source: about 1 year ago
Finally, when it comes to building models and making predictions, Python and R have a plethora of options available. Libraries like scikit-learn, statsmodels, and TensorFlowin Python, or caret, randomForest, and xgboostin R, provide powerful machine learning algorithms and statistical models that can be applied to a wide range of problems. What's more, these libraries are open-source and have extensive... Source: about 1 year ago
Scikit-learn is a machine learning library that comes with a number of pre-built machine learning models, which can then be used as python wrappers. Source: over 1 year ago
Coach.me - Coach.me is a coach that goes everywhere with you, helping you achieve any goal, change any habit, or build any expertise.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Beeminder - Beeminder
OpenCV - OpenCV is the world's biggest computer vision library
GoalsWon - Human accountability coaching for busy people
NumPy - NumPy is the fundamental package for scientific computing with Python